Daniel Kernell

7.2k citations
103 papers · 5.8k · h-index 46

Impact in

Papers in

Daniel Kernell

102 papers receiving 5.4k citations

Peers

Daniel Kernell
Comparison fields: 5 of 128
  • Neurology 1.1k
  • Cellular and Molecular Neuroscience 2.4k
  • Cognitive Neuroscience 2.3k
  • Biomedical Engineering 3.1k
  • Orthopedics and Sports Medicine 447
Replace R. E. Burke with:
R. E. Burke United States
Elwood Henneman United States
Douglas G. Stuart United States
P. Rudomín Mexico
F.J.R. Richmond Canada
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Raǵnar Granit Sweden
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Citations per field
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Citations per year

Countries citing papers authored by Daniel Kernell

Since Specialization
Citations

This map shows the geographic impact of Daniel Kernell's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Kernell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kernell more than expected).

Fields of papers citing papers by Daniel Kernell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Kernell. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Kernell. The network helps show where Daniel Kernell may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniel Kernell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Kernell Line = papers co-authored together Daniel Kernell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1963241
2 1968222
3 1965219
4 1990186
5 1966168
6 1983161
7 1965158
8 1982157
9 1967153
10 1965152
11 1963151
12 1982143
13 1987141
14 2002139
15 1966128
16 1981109
17 2006102
18 2001101
19 199396
20
Organized variability in the neuromuscular system: a survey of task-related adaptations.
199296

About Daniel Kernell

Daniel Kernell is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology and Neurology, having authored 103 papers that have together received 5.8k indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (70 papers), Neuroscience and Neural Engineering (49 papers), Transcranial Magnetic Stimulation Studies (18 papers), Motor Control and Adaptation (17 papers), Neural dynamics and brain function (16 papers), Ion channel regulation and function (10 papers), Muscle Physiology and Disorders (10 papers) and Neuroscience and Neuropharmacology Research (9 papers). The work is most often cited by research in Neurology (1.1k citations), Cellular and Molecular Neuroscience (2.4k citations), Cognitive Neuroscience (2.3k citations), Biomedical Engineering (3.1k citations) and Orthopedics and Sports Medicine (447 citations). Daniel Kernell has collaborated with scholars based in Netherlands, Sweden and United States. Frequent co-authors include Otto Eerbeek, Raǵnar Granit, Inge Zijdewind, A. W. Monster, Yvonne Donselaar, Rob Bakels, H. Hultborn, George K. Shortess, J. F. M. Clough and C. G. Phillips. Their work appears in journals such as The Journal of Physiology, Brain Research, Experimental Brain Research, Muscle & Nerve and Journal of Neurophysiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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